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Devilray exposes blind spots in fake cell tower detection

Governments use them to track phones. Criminals drive them through city streets and send texts that look like they came from your bank. For 20 years, researchers have been building tools to catch these fake cell towers. They have tested those tools mostly against fake towers they built themselves.

That loop has left gaps. Researchers at KAIST built a platform called Devilray that reproduces 2,592 distinct fake-base-station behaviors. They ran it against seven existing detection systems, and every one of them missed at least 192. The finding points to a larger problem with how the field tests itself: detectors have been evaluated against the wrong adversary.

The work is published on the arXiv preprint server.

Reading single vesicles reveals clues to the origin of chronic inflammation

A new technique to diagnose chronic inflammation developed at Nagoya University can read information from the surface and within individual extracellular vesicles in blood and urine. This technique could be used to develop noninvasive tests that can not only detect chronic inflammation but also provide information about the tissues where it occurs.

The work has been published in the journal Cell Reports Physical Science.

Whenever the body faces damage from injury, illness or toxins, it launches an inflammatory response that involves dilating blood vessels to rush fluid and nutrients to the affected site and sending inflammatory cells to destroy pathogens and repair tissue.

How Modders Unlocked a $5,000 Chip Inside Normal Nvidia GPUs

For years, PC builders suspected Nvidia was limiting consumer GeForce GPUs compared to expensive enterprise cards using the same silicon. In October 2026, the open-source project gpu-unlock proved it by bypassing these limits with a simple pre-boot kernel module. No custom BIOS or modified drivers required. The unlock nearly doubled RTX 4,090 FP16 Tensor performance to 331.6 TFLOPS and boosted RTX 3,090 Ti BF16 throughput by 80%. In this investigation, we explore Nvidia’s GPU segmentation, how the unlock works, the RTX 4090’s 450W power limit, and what it means for consumer hardware.

00:00 Intro.
01:01 Chapter 1: The $5,000 Silicon Illusion.
02:34 Chapter 2: The Pre-Boot Register Trick.
04:06 Chapter 3: The Benchmark Explosion Across 3 Generations.
05:46 Chapter 4: The 450-Watt Power Wall & the Laptop Catch.
07:07 Chapter 5: The War Over Hardware You Already Bought.

#Nvidia #GPUs #PCGaming #HardwareModding.

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Testing Einstein’s laws from the bottom of the Mediterranean Sea

Are the laws of physics truly the same everywhere in the universe? This fundamental principle, known as Lorentz invariance, lies at the heart of Einstein’s theory of relativity. Yet some theories that seek to reconcile gravity with quantum physics suggest that it might not always hold. To investigate this possibility, researchers from the international KM3NeT collaboration analyzed 5,828 atmospheric neutrino candidate events detected by KM3NeT/ORCA, a neutrino telescope located deep in the Mediterranean Sea.

They found no evidence of a violation, but were able to set new experimental limits on how large such effects could be, including the first direct constraints on certain possible differences in the behavior of muon and tau neutrinos. The results are published in the Journal of Cosmology and Astroparticle Physics.

Physicists step closer to the ‘Zeptoverse’ after 42-year particle search

Physicists have found evidence of a particle decay so rare that it is expected to occur only around once in every 10 billion “beauty” particles. The result, from the upgraded LHCb experiment at CERN’s Large Hadron Collider (LHC), follows a search spanning more than 40 years and brings physicists closer to exploring the “Zeptoverse”—an unexplored world that exists at distances of a billionth of a trillionth of a meter, or a “zeptometer,” where new particles and forces of nature may be hiding.

Researchers from The University of Manchester have played key roles in the LHCb experiment and its major upgrade—which can now collect data at up to five times its previous rate—including developing detector technology that has helped make the new measurement possible.

The finding will allow physicists to test the Standard Model, our current best theory of fundamental particles and their interactions, with greater precision and search for signs of particles or forces that may lie beyond it.

Tell this AI what you want a protein to do—and it designs one

In a short space of time, artificial intelligence has become a whiz at designing proteins, molecular machines that perform various functions such as speeding up reactions, producing fluorescent signals and breaking down plastic. But getting AI to design the specific protein you want usually requires the user to have a strong understanding of molecular structures and geometric constraints to guide the models correctly.

Well, that requirement may soon be a thing of the past.

Scientists led by a team at Westlake University in China have developed a large-scale AI model called Pinal that can generate candidate proteins from natural language prompts alone. They detail their research and how their AI model works in a paper published in the journal Nature.

Robot hand learns nimble moves with fewer dropped objects

Manipulating an object with one hand is a balancing act. Fingers must release and renew their grip while keeping the object from slipping away, even with the palm facing downward.

Researchers have now trained a robot hand to perform these maneuvers and added a separate software safeguard to reduce object drops. In tests guided by external motion-tracking cameras, the safeguard cut drops from 16 to four over 1,200 requested movement sequences. The trade-off was that the hand missed a few more targeted motions.

Ian Chuang and colleagues at the University of California, Berkeley and Davis describe their work in a paper posted to the arXiv preprint server. Their approach lets researchers adjust how cautiously the hand moves without retraining its underlying skill.